1 to 25 of 3,957 Databricks Jobs in the UK

Natives business in EMEA , you will engage with customers on short- to medium-term projects, helping them navigate their big data challenges using the Databricks Platform. You will deliver data engineering, data science, and cloud technology solutions-integrating with customer systems, delivering training, and other technical activities that maximise the … strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry-leading data and AI applications on the Databricks platform. Consult on architecture & design : Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks. Offer advanced support … Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly. Align technical delivery : Partner with cross-functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met. Amplify product feedback : Provide implementation insights More ❯

in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help … a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with … Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best More ❯

Join to apply for the Big Data Solutions Architect role at Databricks 6 days ago Be among the first 25 applicants Join to apply for the Big Data Solutions Architect role at Databricks Get AI-powered advice on this job and more exclusive features. CSQ226R109 As a Big Data Solutions … in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help … a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with More ❯

Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 15 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and … any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department … Lakehouse architectures to ensure our data solutions are secure, efficient, and optimized. Key Responsibilities: Design and implement data solutions using Azure services, including Azure Databricks, ADF, and Data Lake Storage. Develop and maintain ETL/ELT pipelines to process structured and unstructured data from multiple sources. - Automate loads using Databricks More ❯

sales Solutions Architect (EMEA Greenfield-DNB) - French Speaking Join to apply for the Pre-sales Solutions Architect (EMEA Greenfield-DNB) - French Speaking role at Databricks Pre-sales Solutions Architect (EMEA Greenfield-DNB) - French Speaking 2 days ago Be among the first 25 applicants Join to apply for the Pre-sales … Solutions Architect (EMEA Greenfield-DNB) - French Speaking role at Databricks London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to … culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity More ❯

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that … culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity … to Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯

in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help … a customers' successful understanding, evaluation, and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with … Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best More ❯

Enterprise Account Executive - Professional Services Join to apply for the Enterprise Account Executive - Professional Services role at Databricks Enterprise Account Executive - Professional Services 6 hours ago Be among the first 25 applicants Join to apply for the Enterprise Account Executive - Professional Services role at Databricks SLSQ226R82 Want to help solve … You Will Have You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the PBS segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires … plan You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped More ❯

knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations More ❯

Join to apply for the Pre-sales Solutions Architect (Digital Native/Start-up) role at Databricks 2 days ago Be among the first 25 applicants Join to apply for the Pre-sales Solutions Architect (Digital Native/Start-up) role at Databricks Get AI-powered advice on this job … and more exclusive features. London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our … culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity More ❯

systems. Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures. Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark. Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools). Experience with log analysis, forensic debugging, and system performance More ❯

and resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI More ❯

Knowledge, skills and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

data ingestion, data processing, data transformation, business intelligence, AI, and advanced analytics. Proven hands-on capability with relevant technology: Azure Platform, Azure Data Services, Databricks, Power BI, SQL DW, Snowflake, Big Query, and Advanced Analytics. Proven ability to understand low-level data engineering solutions and languages (Spark, MPP, Python, Delta More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. … such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI … concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast More ❯

ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful services, and JSON/XML data handling Experience with Azure Data Factory , Databricks , or AWS Glue Familiarity with CI/CD , version control (Git), and DevOps practices Knowledge of cloud platforms (Azure, AWS, or GCP) Basic understanding of More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

be based on your skills and experience — talk with your recruiter to learn more. Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, PySpark, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed More ❯

teams effectively. Inquisitive with an eagerness to learn. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps More ❯

market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage More ❯

market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage More ❯

market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage More ❯